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Please note that this page does not hosts or makes available any of the listed filenames. You
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| 1. Introduction and Scope.mp4 |
219.25MB |
| 1. Introduction to Computational and Systems Biology.mp4 |
135.61MB |
| 1. Signals and Systems.mp4 |
121.62MB |
| 1. What Makes Healthcare Unique.mp4 |
467.42MB |
| 10. Application of Machine Learning to Cardiac Imaging.mp4 |
373.06MB |
| 10. Feedback and Control.mp4 |
76.42MB |
| 10. Introduction to Learning, Nearest Neighbors.mp4 |
464.73MB |
| 10. Markov and Hidden Markov Models of Genomic and Protein Features.mp4 |
493.73MB |
| 11. Continuous-Time (CT) Frequency Response and Bode Plot.mp4 |
129.61MB |
| 11. Differential Diagnosis.mp4 |
312.63MB |
| 11. Learning - Identification Trees, Disorder.mp4 |
246.20MB |
| 11. RNA Secondary Structure; Biological Functions and Predictions.mp4 |
645.04MB |
| 12. Continuous-Time (CT) Feedback and Control, Part 1.mp4 |
113.16MB |
| 12. Introduction to Protein Structure; Structure Comparison and Classification.mp4 |
266.54MB |
| 12. Machine Learning for Pathology.mp4 |
316.41MB |
| 12a - Neural Nets.mp4 |
226.45MB |
| 12b - Deep Neural Nets.mp4 |
208.38MB |
| 13. Continuous-Time (CT) Feedback and Control, Part 2.mp4 |
126.12MB |
| 13. Learning - Genetic Algorithms.mp4 |
231.80MB |
| 13. Machine Learning for Mammography.mp4 |
120.72MB |
| 13. Predicting Protein Structure.mp4 |
173.31MB |
| 14. Causal Inference, Part 1.mp4 |
642.91MB |
| 14. Fourier Representations.mp4 |
120.92MB |
| 14. Learning - Sparse Spaces, Phonology.mp4 |
215.63MB |
| 14. Predicting Protein Interactions.mp4 |
570.86MB |
| 15. Causal Inference, Part 2.mp4 |
111.41MB |
| 15. Fourier Series.mp4 |
124.54MB |
| 15. Gene Regulatory Networks.mp4 |
442.43MB |
| 15. Learning - Near Misses, Felicity Conditions.mp4 |
423.84MB |
| 16. Fourier Transform.mp4 |
109.86MB |
| 16. Learning - Support Vector Machines.mp4 |
157.09MB |
| 16. Protein Interaction Networks.mp4 |
203.22MB |
| 16. Reinforcement Learning, Part 1.mp4 |
288.54MB |
| 17. Discrete-Time (DT) Frequency Representations.mp4 |
136.85MB |
| 17. Learning - Boosting.mp4 |
233.46MB |
| 17. Logic Modeling of Cell Signaling Networks.mp4 |
666.61MB |
| 17. Reinforcement Learning, Part 2.mp4 |
434.65MB |
| 18. Analysis of Chromatin Structure.mp4 |
424.63MB |
| 18. Discrete-Time (DT) Fourier Representations.mp4 |
129.74MB |
| 18. Disease Progression Modeling and Subtyping, Part 1.mp4 |
531.31MB |
| 18. Representations - Classes, Trajectories, Transitions.mp4 |
224.37MB |
| 19. Architectures - GPS, SOAR, Subsumption, Society of Mind.mp4 |
472.85MB |
| 19. Discovering Quantitative Trait Loci (QTLs).mp4 |
782.59MB |
| 19. Disease Progression Modeling and Subtyping, Part 2.mp4 |
422.31MB |
| 19. Relations Among Fourier Representations.mp4 |
126.17MB |
| 2. Discrete-Time (DT) Systems.mp4 |
115.14MB |
| 2. Local Alignment (BLAST) and Statistics.mp4 |
542.58MB |
| 2. Overview of Clinical Care.mp4 |
464.63MB |
| 2. Reasoning - Goal Trees and Problem Solving.mp4 |
466.99MB |
| 20. Applications of Fourier Transforms.mp4 |
125.21MB |
| 20. Human Genetics, SNPs, and Genome Wide Associate Studies.mp4 |
465.82MB |
| 20. Precision Medicine.mp4 |
421.42MB |
| 21. Automating Clinical Work Flows.mp4 |
315.87MB |
| 21. Probabilistic Inference I.mp4 |
388.97MB |
| 21. Sampling.mp4 |
128.25MB |
| 21. Synthetic Biology - From Parts to Modules to Therapeutic Systems.mp4 |
228.28MB |
| 22. Causality, Natural Computing, and Engineering Genomes.mp4 |
587.29MB |
| 22. Probabilistic Inference II.mp4 |
358.47MB |
| 22. Regulation of Machine Learning _ Artificial Intelligence in the US.mp4 |
561.65MB |
| 22. Sampling and Quantization.mp4 |
109.71MB |
| 23. Fairness.mp4 |
312.66MB |
| 23. Model Merging, Cross-Modal Coupling, Course Summary.mp4 |
128.95MB |
| 23. Modulation, Part 1.mp4 |
114.97MB |
| 24. Modulation, Part 2.mp4 |
97.21MB |
| 24. Robustness to Dataset Shift.mp4 |
350.52MB |
| 25. Audio CD.mp4 |
117.23MB |
| 25. Interpretability.mp4 |
340.54MB |
| 3. Deep Dive Into Clinical Data.mp4 |
457.12MB |
| 3. Feedback, Poles, and Fundamental Modes.mp4 |
119.35MB |
| 3. Global Alignment of Protein Sequences (NW, SW, PAM, BLOSUM).mp4 |
510.98MB |
| 3. Reasoning - Goal Trees and Rule-Based Expert Systems.mp4 |
217.63MB |
| 4. Comparative Genomic Analysis of Gene Regulation.mp4 |
511.20MB |
| 4. Continuous-Time (CT) Systems.mp4 |
131.26MB |
| 4. Risk Stratification, Part 1.mp4 |
543.25MB |
| 4. Search - Depth-First, Hill Climbing, Beam.mp4 |
429.07MB |
| 5. Library Complexity and Short Read Alignment (Mapping).mp4 |
662.88MB |
| 5. Risk Stratification, Part 2.mp4 |
509.63MB |
| 5. Search - Optimal, Branch and Bound, A.mp4 |
435.71MB |
| 5. Z Transform.mp4 |
119.50MB |
| 6. Genome Assembly.mp4 |
314.15MB |
| 6. Laplace Transform.mp4 |
104.10MB |
| 6. Physiological Time-Series.mp4 |
399.08MB |
| 6. Search - Games, Minimax, and Alpha-Beta.mp4 |
454.16MB |
| 7. ChIP-seq Analysis; DNA-protein Interactions.mp4 |
284.12MB |
| 7. Constraints - Interpreting Line Drawings.mp4 |
457.28MB |
| 7. Discrete Approximation of Continuous-Time Systems.mp4 |
111.78MB |
| 7. Natural Language Processing (NLP), Part 1.mp4 |
436.51MB |
| 8. Constraints - Search, Domain Reduction.mp4 |
119.14MB |
| 8. Convolution.mp4 |
129.46MB |
| 8. Natural Language Processing (NLP), Part 2.mp4 |
394.60MB |
| 8. RNA-sequence Analysis - Expression, Isoforms.mp4 |
499.07MB |
| 9. Constraints - Visual Object Recognition.mp4 |
133.54MB |
| 9. Frequency Response.mp4 |
122.87MB |
| 9. Modeling and Discovery of Sequence Motifs.mp4 |
643.97MB |
| 9. Translating Technology Into the Clinic.mp4 |
641.02MB |
| Addition rule for probability _ Probability and Statistics _ Khan Academy.mp4 |
13.94MB |
| Advanced Algorithms (COMPSCI 224), Lecture 1.mp4 |
237.17MB |
| Advanced Algorithms (COMPSCI 224), Lecture 10.mp4 |
220.33MB |
| Advanced Algorithms (COMPSCI 224), Lecture 11.mp4 |
225.94MB |
| Advanced Algorithms (COMPSCI 224), Lecture 12.mp4 |
224.23MB |
| Advanced Algorithms (COMPSCI 224), Lecture 13.mp4 |
221.86MB |
| Advanced Algorithms (COMPSCI 224), Lecture 15.mp4 |
225.77MB |
| Advanced Algorithms (COMPSCI 224), Lecture 16.mp4 |
221.06MB |
| Advanced Algorithms (COMPSCI 224), Lecture 17.mp4 |
228.65MB |
| Advanced Algorithms (COMPSCI 224), Lecture 18.mp4 |
222.29MB |
| Advanced Algorithms (COMPSCI 224), Lecture 19.mp4 |
215.61MB |
| Advanced Algorithms (COMPSCI 224), Lecture 2.mp4 |
263.93MB |
| Advanced Algorithms (COMPSCI 224), Lecture 20.mp4 |
224.50MB |
| Advanced Algorithms (COMPSCI 224), Lecture 21.mp4 |
233.95MB |
| Advanced Algorithms (COMPSCI 224), Lecture 22.mp4 |
212.15MB |
| Advanced Algorithms (COMPSCI 224), Lecture 23.mp4 |
226.66MB |
| Advanced Algorithms (COMPSCI 224), Lecture 24.mp4 |
224.80MB |
| Advanced Algorithms (COMPSCI 224), Lecture 25.mp4 |
228.18MB |
| Advanced Algorithms (COMPSCI 224), Lecture 26.mp4 |
225.01MB |
| Advanced Algorithms (COMPSCI 224), Lecture 3.mp4 |
240.85MB |
| Advanced Algorithms (COMPSCI 224), Lecture 4.mp4 |
231.44MB |
| Advanced Algorithms (COMPSCI 224), Lecture 5.mp4 |
212.84MB |
| Advanced Algorithms (COMPSCI 224), Lecture 6.mp4 |
220.04MB |
| Advanced Algorithms (COMPSCI 224), Lecture 7.mp4 |
228.55MB |
| Advanced Algorithms (COMPSCI 224), Lecture 8.mp4 |
217.42MB |
| Advanced Algorithms (COMPSCI 224), Lecture 9.mp4 |
222.31MB |
| An Introduction To NoSQL Databases.mp4 |
22.53MB |
| Applying our K Nearest Neighbors Algorithm - Practical Machine Learning Tutorial with Python p.18.mp4 |
28.93MB |
| Artificial Intelligence Full Course _ Artificial Intelligence Tutorial for Beginners _ Edureka.mp4 |
661.16MB |
| AVL 1 Introduction.mp4 |
31.45MB |
| AVL Tree 2 Nodes.mp4 |
30.10MB |
| AVL Tree 3 Adding a node.mp4 |
33.65MB |
| AVL Tree 4 recursive add for an AVL tree.mp4 |
52.25MB |
| AVL Tree 5 checking balance in an AVL tree.mp4 |
37.28MB |
| AVL Tree 6 Rebalancing AVL trees.mp4 |
50.38MB |
| AVL Tree 7 complete example of adding data to an AVL tree..mp4 |
59.54MB |
| Barack Obama - Intro to Deep Learning _ MIT 6.S191.mp4 |
4.63MB |
| Basics of OS (Computer System Operation).mp4 |
37.36MB |
| Basics of OS (I_O Structure).mp4 |
30.96MB |
| Basics of OS (Storage Structure).mp4 |
15.95MB |
| Big Bang Model.mp4 |
20.46MB |
| Big O Notations.mp4 |
42.18MB |
| Binomial Distribution 1.mp4 |
12.01MB |
| Binomial Distribution 2.mp4 |
11.98MB |
| Binomial Distribution 3.mp4 |
13.99MB |
| Binomial Distribution 4.mp4 |
10.04MB |
| Bioinformatics in Python - Development Tools Setup..mp4 |
47.95MB |
| Bioinformatics in Python - DNA Toolkit. Part 1 - Validating and counting nucleotides..mp4 |
29.73MB |
| Bioinformatics in Python - DNA Toolkit. Part 2 - Transcription, Reverse Complement..mp4 |
42.17MB |
| Bioinformatics in Python - DNA Toolkit. Part 3 - GC Content Calculation..mp4 |
37.16MB |
| Bioinformatics in Python - DNA Toolkit. Part 4 - Translation, Codon Usage..mp4 |
32.58MB |
| Bioinformatics in Python - DNA Toolkit. Part 5 - Open Reading Frames..mp4 |
21.45MB |
| Bioinformatics in Python - DNA Toolkit. Part 6 - Protein search in a reading frame..mp4 |
38.40MB |
| Bioinformatics in Python - DNA Toolkit. Part 7 - A search for a real protein from NCBI database..mp4 |
41.26MB |
| Bioinformatics in Python - DNA Toolkit. Part 8.1 - Code refactoring into a bio_seq class..mp4 |
56.55MB |
| Bioinformatics in Python - DNA Toolkit. Part 8.2 - Code refactoring into a bio_seq class..mp4 |
65.74MB |
| Bioinformatics in Python - DNA Toolkit. Part 9 - RNA, Helper functions..mp4 |
51.33MB |
| Bioinformatics in Python - Intro.mp4 |
38.45MB |
| Bioinformatics Tips & Tricks - Hamming Distance.mp4 |
25.38MB |
| Birthday probability problem _ Probability and Statistics _ Khan Academy.mp4 |
13.80MB |
| Black Box Testing.mp4 |
41.43MB |
| Bloom Filters.mp4 |
122.77MB |
| Building the Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 2.mp4 |
35.95MB |
| C++ Tutorial.mp4 |
50.84MB |
| C++ Tutorial 10 - Object Oriented Programming.mp4 |
190.74MB |
| C++ Tutorial 11 - Polymorphism.mp4 |
29.09MB |
| C++ Tutorial 12 - Operator Overloading & File I_O.mp4 |
47.19MB |
| C++ Tutorial 13 - Advanced Functions.mp4 |
29.27MB |
| C++ Tutorial 14 - Templates & Iterators.mp4 |
34.52MB |
| C++ Tutorial 15 - Smart Pointers & Polymorphic Templates.mp4 |
25.30MB |
| C++ Tutorial 16 - C++ Threads.mp4 |
47.43MB |
| C++ Tutorial 17 - Sequence Containers.mp4 |
37.22MB |
| C++ Tutorial 18 - Associative Containers & Container Adapters.mp4 |
33.04MB |
| C++ Tutorial 19 - C++ Regular Expressions.mp4 |
44.48MB |
| C++ Tutorial 20 - C++ Regex 2.mp4 |
22.98MB |
| C++ Tutorial 21 - C++ Regex 3.mp4 |
28.63MB |
| C++ Tutorial 2 - Conditionals, Arrays, Vectors, Strings, Loops.mp4 |
50.72MB |
| C++ Tutorial 3 - Pointers & Functions.mp4 |
54.58MB |
| C++ Tutorial 4 - Exception Handling & Looping.mp4 |
101.13MB |
| C++ Tutorial 5 - Strings & Math.mp4 |
44.18MB |
| C++ Tutorial 6 - Solving Problems.mp4 |
43.38MB |
| C++ Tutorial 7 - Solving Problems.mp4 |
43.17MB |
| C++ Tutorial 8 - Recursion Algorithms & Overloaded Functions.mp4 |
51.55MB |
| C++ Tutorial 9 - Lambda Expressions.mp4 |
43.97MB |
| Calclulus II - 10.1.2 Parabolas.mp4 |
27.81MB |
| Calculus 1.1 A Preview of Calculus.mp4 |
21.99MB |
| Calculus 1.2.1 Find Limits Graphically and Numerically - Estimate a Limit Numerically or Graphically.mp4 |
42.57MB |
| Calculus 1.2.2 Find Limits Graphically and Numerically - When Limits Fail to Exist.mp4 |
25.41MB |
| Calculus 1.2.3 Find Limits Graphically and Numerically - The Formal Definition of A Limit.mp4 |
44.32MB |
| Calculus 1.3.1 Evaluating Limits Using Properties of Limits.mp4 |
33.52MB |
| Calculus 1.3.2 Evaluating Limits By Dividing Out or Rationalizing.mp4 |
30.34MB |
| Calculus 1.3.3 Evaluating Limits Using the Squeeze Theorem.mp4 |
18.71MB |
| Calculus 1.4.1 Continuity on Open Intervals.mp4 |
36.03MB |
| Calculus 1.4.2 Continuity on Closed Intervals.mp4 |
18.61MB |
| Calculus 1.4.3 Properties of Continuity.mp4 |
11.98MB |
| Calculus 1.4.4 The Intermediate Value Theorem.mp4 |
23.79MB |
| Calculus 1.5.1 Determine Infinite Limits.mp4 |
14.76MB |
| Calculus 1.5.2 Determine Vertical Asymptotes.mp4 |
30.37MB |
| Calculus 2.1.1 Find the Slope of a Tangent Line.mp4 |
52.51MB |
| Calculus 2.1.2 Derivatives Using the Limit Definition.mp4 |
39.74MB |
| Calculus 2.1.3 Differentiability and Continuity.mp4 |
26.82MB |
| Calculus 2.2.1 Basic Differentiation Rules.mp4 |
45.95MB |
| Calculus 2.2.2 Rates of Change.mp4 |
40.94MB |
| Calculus 2.3.1 The Product and Quotient Rules.mp4 |
32.78MB |
| Calculus 2.3.2 Derivatives of Trigonometric Functions.mp4 |
8.07MB |
| Calculus 2.3.3 Higher Order Derivatives.mp4 |
25.08MB |
| Calculus 2.4.1 The Chain Rule.mp4 |
45.65MB |
| Calculus 2.4.2 The General Power Rule.mp4 |
21.85MB |
| Calculus 2.4.3 Simplifying Derivatives.mp4 |
24.58MB |
| Calculus 2.4.4 Trigonometric Functions and the Chain Rule.mp4 |
7.07MB |
| Calculus 2.5.1 Implicit and Explicit Functions.mp4 |
21.20MB |
| Calculus 2.5.2 Implicit Differentiation.mp4 |
39.68MB |
| Calculus 3.1.1 Extrema of a Function on an Interval.mp4 |
20.83MB |
| Calculus 3.1.2 Relative Extrema of a Function on an Open Interval.mp4 |
35.74MB |
| Calculus 3.1.3 Find Extrema on a Closed Interval.mp4 |
26.66MB |
| Calculus 3.2.1 Rolle’s Theorem.mp4 |
38.91MB |
| Calculus 3.2.2 The Mean Value Theorem.mp4 |
41.18MB |
| Calculus 3.3.1 Increasing and Decreasing Intervals.mp4 |
55.73MB |
| Calculus 3.3.2 The First Derivative Test.mp4 |
39.00MB |
| Calculus 3.4.1 Intervals of Concavity.mp4 |
30.10MB |
| Calculus 3.4.2 Points of Inflection.mp4 |
17.48MB |
| Calculus 3.4.3 The Second Derivative Test.mp4 |
19.68MB |
| Calculus 3.4.4 Putting It All Together.mp4 |
39.65MB |
| Calculus 3.5.1 Determine Finite Limits at Infinity.mp4 |
15.63MB |
| Calculus 3.5.2 Determine Horizontal Asymptotes of a Function.mp4 |
39.03MB |
| Calculus 3.5.3 Horizontal Asymptotes - Tricky Examples.mp4 |
25.99MB |
| Calculus 3.5.4 Determine Infinite Limits at Infinity.mp4 |
6.27MB |
| Calculus 3.6.1 A Summary of Curve Sketching.mp4 |
59.67MB |
| Calculus 3.6.2 Curve Sketching - Full Practice.mp4 |
49.27MB |
| Calculus 3.7.1 Optimization Problems.mp4 |
53.46MB |
| Calculus 3.7.2 Optimization Practice.mp4 |
64.22MB |
| Calculus 4.1.1 Antiderivatives.mp4 |
38.35MB |
| Calculus 4.1.2 Basic Integration Rules.mp4 |
10.23MB |
| Calculus 4.1.3 Find Particular Solutions to Differential Equations.mp4 |
43.64MB |
| Calculus 4.2.1 Sigma Notation.mp4 |
37.62MB |
| Calculus 4.2.2 The Concept of Area.mp4 |
16.10MB |
| Calculus 4.2.3 The Approximate Area of a Plane Region.mp4 |
85.20MB |
| Calculus 4.2.4 Finding Area By The Limit Definition.mp4 |
46.87MB |
| Calculus 4.3.1 Riemann Sums.mp4 |
27.02MB |
| Calculus 4.3.2 Definite Integrals.mp4 |
35.60MB |
| Calculus 4.3.3 Properties of Definite Integrals.mp4 |
19.97MB |
| Calculus 4.4.1 The Fundamental Theorem of Calculus.mp4 |
60.97MB |
| Calculus 4.4.2 The Mean Value Theorem for Integrals.mp4 |
15.47MB |
| Calculus 4.4.3 The Average Value of a Function.mp4 |
8.60MB |
| Calculus 4.4.4 The Second Fundamental Theorem of Calculus.mp4 |
20.04MB |
| Calculus 4.5.1 Use Pattern Recognition in Indefinite Integrals.mp4 |
34.13MB |
| Calculus 4.5.2 Change of Variables for Indefinite Integrals.mp4 |
72.38MB |
| Calculus 5.1.1 Properties of the Natural Logarithmic Function.mp4 |
52.24MB |
| Calculus 5.1.2 The Number e.mp4 |
9.06MB |
| Calculus 5.1.3 The Derivative of the Natural Logarithmic Function.mp4 |
36.82MB |
| Calculus 5.2.1 The Log Rule for Integration.mp4 |
56.63MB |
| Calculus 5.2.2 Integrals of Trigonometric Functions.mp4 |
6.26MB |
| Calculus 5.3.1 Verify Functions are Inverses of One Another.mp4 |
28.65MB |
| Calculus 5.3.2 Determine Whether a Function Has An Inverse.mp4 |
26.67MB |
| Calculus 5.3.3 Find the Inverse of a Function.mp4 |
9.99MB |
| Calculus 5.3.4 Find the Derivative of an Inverse of a Function.mp4 |
24.98MB |
| Calculus 5.4.1 The Natural Exponential Function.mp4 |
40.26MB |
| Calculus 5.4.2 Derivatives of the Natural Exponential Function.mp4 |
8.14MB |
| Calculus 5.4.3 Integrals of the Natural Exponential Function.mp4 |
18.49MB |
| Calculus 5.5.1 Exponential Functions with Bases Other than e.mp4 |
46.29MB |
| Calculus 5.5.2 Differentiate and Integrate with Bases Other than e.mp4 |
36.25MB |
| Calculus 5.5.3 Applications of Bases Other than e.mp4 |
25.49MB |
| Calculus 5.6.1 Indeterminate Forms.mp4 |
15.06MB |
| Calculus 5.6.2 L’Hôpital’s Rule.mp4 |
28.32MB |
| Calculus 5.7.1 Inverse Trigonometric Functions.mp4 |
64.05MB |
| Calculus 5.7.2 Derivatives of Inverse Trigonometric Functions.mp4 |
20.23MB |
| Calculus 5.8.1 Integrate Inverse Trigonometric Functions.mp4 |
30.24MB |
| Calculus 5.8.2 Integrate Using the Completing the Square Technique.mp4 |
19.45MB |
| Calculus I - 2.6.1 Related Rates - Water Ripples (2D Circle).mp4 |
11.57MB |
| Calculus I - 2.6.2 Related Rates - Balloon Inflation (Sphere).mp4 |
9.89MB |
| Calculus I - 2.6.3 Related Rates - Modeling with Triangles.mp4 |
36.03MB |
| Calculus II - 10.1.1 An Introduction to Conic Sections.mp4 |
12.93MB |
| Calculus II - 10.1.3 Ellipses.mp4 |
29.42MB |
| Calculus II - 10.1.4 Hyperbolas.mp4 |
16.86MB |
| Calculus II - 10.2.1 Plane Curves and Parametric Equations.mp4 |
32.87MB |
| Calculus II - 10.2.2 Finding Parametric Equations.mp4 |
12.13MB |
| Calculus II - 10.3.1 Slope, Tangent Lines, and Concavity of Parametric Equations.mp4 |
40.47MB |
| Calculus II - 10.4.1 Polar Coordinates and Coordinate Conversion.mp4 |
40.55MB |
| Calculus II - 10.4.2 Polar Graphs.mp4 |
16.72MB |
| Calculus II - 10.4.3 Slope and Tangent Lines of Polar Equations.mp4 |
42.78MB |
| Calculus II - 6.1.1 General and Particular Solutions to Differential Equations.mp4 |
29.72MB |
| Calculus II - 6.1.2 Slope Fields.mp4 |
6.70MB |
| Calculus II - 6.2.1 Use Separation of Variables to Solve a Simple Differential Equation.mp4 |
22.70MB |
| Calculus II - 6.2.2 Models of Exponential Growth and Decay.mp4 |
50.12MB |
| Calculus II - 6.3.1 Using Separation of Variables to Find General and Particular Solutions.mp4 |
25.33MB |
| Calculus II - 6.3.2 The Logistic Differential Equation.mp4 |
26.71MB |
| Calculus II - 6.4.1 First Order Linear Differential Equations.mp4 |
33.24MB |
| Calculus II - 7.1.1 Finding The Area Under a Curve.mp4 |
11.83MB |
| Calculus II - 7.1.2 Finding the Area Between Two Curves.mp4 |
42.49MB |
| Calculus II - 7.1.3 Applications Involving the Area Between Two Curves.mp4 |
11.54MB |
| Calculus II - 7.2.1 Finding Volume Using the Disk Method.mp4 |
42.01MB |
| Calculus II - 7.2.2 Finding Volume Using the Washer Method.mp4 |
45.34MB |
| Calculus II - 7.2.3 Finding the Volume of a Solid with Known Cross Sections.mp4 |
27.81MB |
| Calculus II - 7.3.1 Finding Volume Using the Shell Method.mp4 |
46.54MB |
| Calculus II - 7.3.2 Disk Method vs. Shell Method.mp4 |
23.22MB |
| Calculus II - 7.4.1 Finding Arc Length.mp4 |
33.33MB |
| Calculus II - 7.4.2 Surfaces of Revolution.mp4 |
28.34MB |
| Calculus II - 7.5.1 Work, Work, Work.mp4 |
41.32MB |
| Calculus II - 7.6.1 Center of Mass in a One- or Two-Dimensional System.mp4 |
24.45MB |
| Calculus II - 7.6.2 Center of Mass of a Planar Lamina.mp4 |
42.27MB |
| Calculus II - 7.7.1 Fluid Pressure and Fluid Force.mp4 |
34.61MB |
| Calculus II - 8.1.1 Fitting Integrands to Basic Integration Rules.mp4 |
23.96MB |
| Calculus II - 8.2.1 Integration by Parts.mp4 |
29.89MB |
| Calculus II - 8.3.1 Integrals Involving Powers of Sine and Cosine.mp4 |
31.92MB |
| Calculus II - 8.3.2 Integrals Involving Powers of Secant and Tangent.mp4 |
46.05MB |
| Calculus II - 8.4.1 Trigonometric Substitution.mp4 |
55.02MB |
| Calculus II - 8.5.1 Using Partial Fractions with Linear Factors to Integrate.mp4 |
34.68MB |
| Calculus II - 8.5.2 Using Partial Fractions with Quadratic Factors to Integrate.mp4 |
23.88MB |
| Calculus II - 8.6.1 Using the Trapezoidal Rule to Approximate Integrals.mp4 |
33.95MB |
| Calculus II - 8.6.2 Using Simpson's Rule to Approximate Integrals.mp4 |
18.02MB |
| Calculus II - 8.8.1 Improper Integrals with Infinite Limits of Integration.mp4 |
33.39MB |
| Calculus II - 8.8.2 Improper Integrals with Infinite Discontinuities.mp4 |
24.12MB |
| Calculus II - 9.1.1 The Limit of a Sequence.mp4 |
29.50MB |
| Calculus II - 9.1.2 Pattern Recognition for Sequences.mp4 |
18.87MB |
| Calculus II - 9.1.3 Monotonic and Bounded Sequences.mp4 |
18.52MB |
| Calculus II - 9.10.1 The Taylor and Maclaurin Series.mp4 |
36.12MB |
| Calculus II - 9.10.2 The Binomial Series.mp4 |
17.51MB |
| Calculus II - 9.10.3 Use The Power Series for Elementary Functions.mp4 |
13.55MB |
| Calculus II - 9.2.1 Infinite Series.mp4 |
15.71MB |
| Calculus II - 9.2.2 The Geometric Series.mp4 |
41.16MB |
| Calculus II - 9.2.3 The nth Term Test for Divergence.mp4 |
13.61MB |
| Calculus II - 9.3.1 The Integral Test.mp4 |
25.81MB |
| Calculus II - 9.3.2 The p-Series.mp4 |
13.34MB |
| Calculus II - 9.4.1 The Direct Comparison Test.mp4 |
47.45MB |
| Calculus II - 9.4.2 The Limit Comparison Test.mp4 |
27.46MB |
| Calculus II - 9.5.1 The Alternating Series Test.mp4 |
16.81MB |
| Calculus II - 9.5.2 The Alternating Series Remainder.mp4 |
22.02MB |
| Calculus II - 9.5.3 Absolute and Conditional Convergence.mp4 |
23.75MB |
| Calculus II - 9.6.1 The Ratio Test.mp4 |
30.43MB |
| Calculus II - 9.6.2 The Root Test.mp4 |
11.61MB |
| Calculus II - 9.8.1 The Power Series L=0 or L=Inf.mp4 |
30.42MB |
| Calculus II - 9.8.2 The Power Series - Finding R and the Interval of Convergence.mp4 |
37.22MB |
| Calculus II - 9.9.1 Represent Functions with the Geometric Power Series.mp4 |
35.83MB |
| Calculus II - 9.9.2 Operations with The Geometric Power Series.mp4 |
33.88MB |
| CASE Tools.mp4 |
13.61MB |
| Characteristics of Good Software.mp4 |
30.33MB |
| Chris Gerdes (Stanford) on Technology, Policy and Vehicle Safety - MIT Self-Driving Cars.mp4 |
211.76MB |
| Classification w_ K Nearest Neighbors Intro - Practical Machine Learning Tutorial with Python p.13.mp4 |
12.33MB |
| Clustering Introduction - Practical Machine Learning Tutorial with Python p.34.mp4 |
77.96MB |
| Cohesion and Coupling.mp4 |
91.17MB |
| Coin flipping probability _ Probability and Statistics _ Khan Academy.mp4 |
9.58MB |
| Combinations.mp4 |
10.04MB |
| Command Line Interface (CLI).mp4 |
51.76MB |
| Completing SVM from Scratch - Practical Machine Learning Tutorial with Python p.28.mp4 |
115.71MB |
| Complexity 1 Introduction to complexity.mp4 |
85.48MB |
| Complexity 2 Big Oh Notation.mp4 |
37.20MB |
| Complexity 3 Some examples of big-Oh notation.mp4 |
56.29MB |
| Component Reusability.mp4 |
48.55MB |
| Components of CASE Tools.mp4 |
23.66MB |
| Compound probability of independent events _ Probability and Statistics _ Khan Academy.mp4 |
5.43MB |
| Computer System Architecture.mp4 |
20.16MB |
| Conditional probability and combinations _ Probability and Statistics _ Khan Academy.mp4 |
19.32MB |
| Configuration Management.mp4 |
95.18MB |
| Context Switch.mp4 |
19.07MB |
| Convolutional Neural Networks _ MIT 6.S191.mp4 |
132.30MB |
| Convolutional Neural Networks Basics - Deep Learning withTensorFlow 12.mp4 |
12.46MB |
| Convolutional Neural Networks with TensorFlow - Deep Learning with Neural Networks 13.mp4 |
195.09MB |
| Cost of Maintenance.mp4 |
30.51MB |
| C Programming Tutorial _ Learn C programming _ C language.mp4 |
508.48MB |
| C Programming Tutorial for Beginners.mp4 |
485.79MB |
| CPU and I_O Burst Cycles.mp4 |
17.07MB |
| Creating an SVM from scratch - Practical Machine Learning Tutorial with Python p.25.mp4 |
18.53MB |
| Creating A Reinforcement Learning (RL) Environment - Reinforcement Learning p.4.mp4 |
143.24MB |
| Creating Our K Nearest Neighbors Algorithm - Practical Machine Learning with Python p.16.mp4 |
17.07MB |
| Critical Path Analysis.mp4 |
43.32MB |
| CSS Crash Course For Absolute Beginners.mp4 |
155.17MB |
| Custom K Means - Practical Machine Learning Tutorial with Python p.37.mp4 |
77.74MB |
| Cyclomatic Complexity Measures.mp4 |
38.68MB |
| Database Design Course - Learn how to design and plan a database for beginners.mp4 |
5.68GB |
| Data Dictionary.mp4 |
43.85MB |
| Data Flow Diagram.mp4 |
59.78MB |
| Data Structures Easy to Advanced Course - Full Tutorial from a Google Engineer.mp4 |
823.34MB |
| Deadlocks _ Chapter-7 _ Operating System.mp4 |
4.46MB |
| Decision Tables.mp4 |
29.11MB |
| Deep Generative Modeling _ MIT 6.S191.mp4 |
93.57MB |
| Deep Learning New Frontiers _ MIT 6.S191.mp4 |
83.23MB |
| Deep Learning with Neural Networks and TensorFlow Introduction.mp4 |
40.22MB |
| Deep Q Learning w_ DQN - Reinforcement Learning p.5.mp4 |
74.36MB |
| Dependent probability example _ Probability and Statistics _ Khan Academy.mp4 |
15.39MB |
| Dependent probability example 2 _ Probability and Statistics _ Khan Academy.mp4 |
20.73MB |
| Discrete Math - 1.1.1 Propositions, Negations, Conjunctions and Disjunctions.mp4 |
47.50MB |
| Discrete Math - 1.1.2 Implications Converse, Inverse, Contrapositive and Biconditionals.mp4 |
47.99MB |
| Discrete Math - 1.1.3 Constructing a Truth Table for Compound Propositions.mp4 |
25.18MB |
| Discrete Math 1.2.1 - Translating Propositional Logic Statements.mp4 |
24.73MB |
| Discrete Math - 1.2.2 Solving Logic Puzzles.mp4 |
52.14MB |
| Discrete Math - 1.2.3 Introduction to Logic Circuits.mp4 |
16.79MB |
| Discrete Math - 1.3.1 “Proving” Logical Equivalences with Truth Tables.mp4 |
38.73MB |
| Discrete Math - 1.3.2 Key Logical Equivalences Including De Morgan’s Laws.mp4 |
23.66MB |
| Discrete Math - 1.3.3 Constructing New Logical Equivalences.mp4 |
35.14MB |
| Discrete Math - 1.4.1 Predicate Logic.mp4 |
22.12MB |
| Discrete Math - 1.4.2 Quantifiers.mp4 |
42.96MB |
| Discrete Math - 1.4.3 Negating and Translating with Quantifiers.mp4 |
44.79MB |
| Discrete Math - 1.5.1 Nested Quantifiers and Negations.mp4 |
41.03MB |
| Discrete Math - 1.5.2 Translating with Nested Quantifiers.mp4 |
54.67MB |
| Discrete Math - 1.6.1 Rules of Inference for Propositional Logic.mp4 |
44.55MB |
| Discrete Math - 1.6.2 Rules of Inference for Quantified Statements.mp4 |
38.79MB |
| Discrete Math - 1.7.1 Direct Proof.mp4 |
20.50MB |
| Discrete Math - 1.7.2 Proof by Contraposition.mp4 |
13.60MB |
| Discrete Math - 1.7.3 Proof by Contradiction.mp4 |
22.37MB |
| Discrete Math - 1.8.1 Proof by Cases.mp4 |
42.08MB |
| Discrete Math - 1.8.2 Proofs of Existence And Uniqueness.mp4 |
20.45MB |
| Discrete Math - 10.1.1 Introduction to Graphs.mp4 |
16.47MB |
| Discrete Math - 10.2.1 Graph Terminology.mp4 |
39.37MB |
| Discrete Math - 10.2.2 Special Types of Graphs.mp4 |
34.57MB |
| Discrete Math - 10.2.3 Applications of Graphs.mp4 |
23.44MB |
| Discrete Math - 11.1.1 Introduction to Trees.mp4 |
53.05MB |
| Discrete Math - 2.1.1 Introduction to Sets.mp4 |
25.05MB |
| Discrete Math - 2.1.2 Set Relationships.mp4 |
45.08MB |
| Discrete Math - 2.2.1 Operations on Sets.mp4 |
31.73MB |
| Discrete Math - 2.2.2 Set Identities.mp4 |
24.33MB |
| Discrete Math - 2.2.3 Proving Set Identities.mp4 |
63.74MB |
| Discrete Math - 2.3.1 Introduction to Functions.mp4 |
16.96MB |
| Discrete Math - 2.3.2 One to One and Onto Functions.mp4 |
25.57MB |
| Discrete Math - 2.3.3 Inverse Functions and Composition of Functions.mp4 |
26.77MB |
| Discrete Math - 2.3.4 Useful Functions to Know.mp4 |
10.09MB |
| Discrete Math - 2.4.1 Introduction to Sequences.mp4 |
36.33MB |
| Discrete Math - 2.4.2 Recurrence Relations.mp4 |
59.64MB |
| Discrete Math - 2.4.3 Summations and Sigma Notation.mp4 |
13.77MB |
| Discrete Math - 2.4.4 Summation Properties and Formulas.mp4 |
27.87MB |
| Discrete Math - 2.6.1 Matrices and Matrix Operations.mp4 |
48.20MB |
| Discrete Math - 2.6.2 Matrix Operations on your TI-84.mp4 |
14.73MB |
| Discrete Math - 2.6.3 Zero-One Matrices.mp4 |
21.86MB |
| Discrete Math - 3.1.1 Introduction to Algorithms and Pseudo Code.mp4 |
22.78MB |
| Discrete Math - 3.1.2 Searching Algorithms.mp4 |
28.39MB |
| Discrete Math - 3.1.3 Sorting Algorithms.mp4 |
28.68MB |
| Discrete Math - 3.1.4 Optimization Algorithms.mp4 |
17.76MB |
| Discrete Math - 4.1.1 Divisibility.mp4 |
31.36MB |
| Discrete Math - 4.1.2 Modular Arithmetic.mp4 |
51.31MB |
| Discrete Math - 4.2.1 Decimal Expansions from Binary, Octal and Hexadecimal.mp4 |
26.79MB |
| Discrete Math - 4.2.2 Binary, Octal and Hexadecimal Expansions From Decimal.mp4 |
14.80MB |
| Discrete Math - 4.2.3 Conversions Between Binary, Octal and Hexadecimal Expansions.mp4 |
37.82MB |
| Discrete Math - 4.2.4 Algorithms for Integer Operations.mp4 |
94.21MB |
| Discrete Math - 4.3.1 Prime Numbers and Their Properties.mp4 |
42.57MB |
| Discrete Math - 4.3.2 Greatest Common Divisors and Least Common Multiples.mp4 |
21.82MB |
| Discrete Math - 4.3.3 The Euclidean Algorithm.mp4 |
17.07MB |
| Discrete Math - 4.3.4 Greatest Common Divisors as Linear Combinations.mp4 |
27.64MB |
| Discrete Math - 4.4.1 Solving Linear Congruences Using the Inverse.mp4 |
36.55MB |
| Discrete Math - 5.1.1 Proof Using Mathematical Induction - Summation Formulae.mp4 |
49.95MB |
| Discrete Math - 5.1.2 Proof Using Mathematical Induction - Inequalities.mp4 |
18.06MB |
| Discrete Math - 5.1.3 Proof Using Mathematical Induction - Divisibility.mp4 |
17.76MB |
| Discrete Math - 5.2.1 The Well-Ordering Principle and Strong Induction.mp4 |
28.60MB |
| Discrete Math - 5.3.1 Revisiting Recursive Definitions.mp4 |
56.49MB |
| Discrete Math - 5.3.2 Structural Induction.mp4 |
41.16MB |
| Discrete Math - 5.4.1 Recursive Algorithms.mp4 |
24.52MB |
| Discrete Math - 6.1.1 Counting Rules.mp4 |
34.10MB |
| Discrete Math - 6.3.1 Permutations and Combinations.mp4 |
37.16MB |
| Discrete Math - 6.3.2 Counting Rules Practice.mp4 |
65.88MB |
| Discrete Math - 6.4.1 The Binomial Theorem.mp4 |
46.23MB |
| Discrete Math - 7.1.1 An Intro to Discrete Probability.mp4 |
31.93MB |
| Discrete Math - 7.1.2 Discrete Probability Practice.mp4 |
70.10MB |
| Discrete Math - 7.2.1 Probability Theory.mp4 |
30.01MB |
| Discrete Math - 7.2.2 Random Variables and the Binomial Distribution.mp4 |
39.62MB |
| Discrete Math - 8.1.1 Modeling with Recurrence Relations.mp4 |
59.62MB |
| Discrete Math - 8.5.1 The Principle of Inclusion Exclusion.mp4 |
43.29MB |
| Discrete Math - 9.1.1 Introduction to Relations.mp4 |
27.24MB |
| Discrete Math - 9.1.2 Properties of Relations.mp4 |
39.27MB |
| Discrete Math - 9.1.3 Combining Relations.mp4 |
47.19MB |
| Discrete Math - 9.3.1 Matrix Representations of Relations and Properties.mp4 |
56.12MB |
| Discrete Math - 9.3.2 Representing Relations Using Digraphs.mp4 |
33.92MB |
| Discrete Math - 9.5.1 Equivalence Relations.mp4 |
58.36MB |
| download.py |
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| Drago Anguelov (Waymo) - MIT Self-Driving Cars.mp4 |
149.37MB |
| Emilio Frazzoli, CTO, nuTonomy - MIT Self-Driving Cars.mp4 |
185.44MB |
| Entity Relationship Model.mp4 |
43.41MB |
| E-Type Software Evolution.mp4 |
38.77MB |
| Euclidean Distance - Practical Machine Learning Tutorial with Python p.15.mp4 |
17.31MB |
| Exactly three heads in five flips _ Probability and Statistics _ Khan Academy.mp4 |
6.50MB |
| Expected Value - E(X).mp4 |
16.22MB |
| Expected value of binomial distribution _ Probability and Statistics _ Khan Academy.mp4 |
16.25MB |
| Final Review Session - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
888.43MB |
| Final thoughts on K Nearest Neighbors - Practical Machine Learning Tutorial with Python p.19.mp4 |
38.35MB |
| Finding probability example 2 _ Probability and Statistics _ Khan Academy.mp4 |
14.07MB |
| First Come First Served Scheduling (Solved Problem 1).mp4 |
64.18MB |
| First Come First Served Scheduling (Solved Problem 2).mp4 |
35.32MB |
| fork() and exec() System Calls.mp4 |
47.06MB |
| Free throwing probability _ Probability and Statistics _ Khan Academy.mp4 |
14.77MB |
| Frequency stability property short film _ Computer Science _ Khan Academy.mp4 |
3.60MB |
| Functional Programming.mp4 |
52.43MB |
| Function Oriented Design.mp4 |
35.57MB |
| Function Point.mp4 |
77.58MB |
| Generalizable Autonomy for Robot Manipulation _ MIT 6.S191.mp4 |
209.78MB |
| Generalizing with binomial coefficients (bit advanced) _ Probability and Statistics _ Khan Academy.mp4 |
29.59MB |
| Getting exactly two heads (combinatorics) _ Probability and Statistics _ Khan Academy.mp4 |
9.38MB |
| Graphical User Interface.mp4 |
68.59MB |
| Halstead’s Complexity Measures.mp4 |
38.67MB |
| Handling Non-Numeric Data - Practical Machine Learning Tutorial with Python p.35.mp4 |
37.97MB |
| Hashes 10 Rehashing.mp4 |
88.36MB |
| Hashes 11 the hash class.mp4 |
112.01MB |
| Hashes 12 Review of the hash element inner class.mp4 |
55.27MB |
| Hashes 13 Constructor for a chained hash..mp4 |
91.27MB |
| Hashes 14 Review of constructors.mp4 |
57.71MB |
| Hashes 15 add() and remove() methods.mp4 |
76.04MB |
| Hashes 16 getValue().mp4 |
37.65MB |
| Hashes 17 resize.mp4 |
80.97MB |
| Hashes 18 KeyIterator.mp4 |
109.43MB |
| Hashes 1 Introduction.mp4 |
126.57MB |
| Hashes 2 Hash Functions.mp4 |
21.12MB |
| Hashes 3 Collisions.mp4 |
42.08MB |
| Hashes 4 Hash Functions for Strings.mp4 |
31.81MB |
| Hashes 5 Compressing numbers to fit the size of the array.mp4 |
30.01MB |
| Hashes 6 Make an integer positive.mp4 |
88.13MB |
| Hashes 7 LoadFactor().mp4 |
20.93MB |
| Hashes 8 Open Addressing.mp4 |
86.76MB |
| Hashes 9 Chaining.mp4 |
74.43MB |
| Heaps 1 Introduction and Tree levels.mp4 |
50.10MB |
| Heaps 2 Add Remove.mp4 |
51.64MB |
| Heaps 3 TrickleUp.mp4 |
116.57MB |
| Heaps 4 TrickleDown.mp4 |
95.34MB |
| Heaps 5 HeapSort.mp4 |
75.55MB |
| HIPO Diagram.mp4 |
28.75MB |
| How to program the Best Fit Line - Practical Machine Learning Tutorial with Python p.9.mp4 |
45.91MB |
| How to program the Best Fit Slope - Practical Machine Learning Tutorial with Python p.8.mp4 |
54.55MB |
| HTML Crash Course For Absolute Beginners.mp4 |
112.39MB |
| Incremental Model.mp4 |
35.59MB |
| Install C++ & NetBeans.mp4 |
22.24MB |
| Installing CPU and GPU TensorFlow on Windows.mp4 |
73.60MB |
| Installing TensorFlow (OPTIONAL) - Deep Learning with Neural Networks and TensorFlow p2.1.mp4 |
65.93MB |
| Installing the GPU version of TensorFlow for making use of your CUDA GPU.mp4 |
79.28MB |
| Interprocess Communication.mp4 |
19.11MB |
| Intro and preprocessing - Using Convolutional Neural Network to Identify Dogs vs Cats p. 1.mp4 |
25.39MB |
| Introduction - 3D Convolutional Neural Network w_ Kaggle Lung Cancer Detection Competiton p.1.mp4 |
26.87MB |
| Introduction to CPU Scheduling.mp4 |
18.64MB |
| Introduction to Operating System.mp4 |
33.07MB |
| Introduction to Random Variables.mp4 |
11.09MB |
| Introduction to Threads.mp4 |
29.94MB |
| Intro - Training a neural network to play a game with TensorFlow and Open AI.mp4 |
25.85MB |
| iOS Tutorial (2020) - How To Make Your First App.mp4 |
449.19MB |
| Issues in RPC & How They're Resolved.mp4 |
63.31MB |
| Java 1 ObjectOrientedProgramming.mp4 |
112.47MB |
| Java 2 ComparableGenerics.mp4 |
93.51MB |
| Java 3 Introduction to Generic Programming.mp4 |
98.32MB |
| Java 4 Parameterized Types.mp4 |
98.22MB |
| Java 5 Autoboxing.mp4 |
20.63MB |
| Java 6 Exceptions.mp4 |
55.91MB |
| Java Algorithms.mp4 |
30.16MB |
| Java Binary Search Tree.mp4 |
81.41MB |
| Java Binary Search Tree 2.mp4 |
28.19MB |
| Java Hash Table.mp4 |
28.13MB |
| Java Hash Tables 2.mp4 |
41.63MB |
| Java Hash Tables 3.mp4 |
41.26MB |
| Java Heaps.mp4 |
28.71MB |
| Java Quick Sort.mp4 |
57.36MB |
| Java Recursion.mp4 |
83.74MB |
| Java Shell Sort.mp4 |
22.32MB |
| Java Sort Algorithm.mp4 |
46.11MB |
| Karl Iagnemma & Oscar Beijbom (Aptiv Autonomous Mobility) - MIT Self-Driving Cars.mp4 |
148.66MB |
| Kernels Introduction - Practical Machine Learning Tutorial with Python p.29.mp4 |
20.38MB |
| K Means from Scratch - Practical Machine Learning Tutorial with Python p.38.mp4 |
38.63MB |
| K Means with Titanic Dataset - Practical Machine Learning Tutorial with Python p.36.mp4 |
72.51MB |
| k-mer algorithms - Compare and Swap.mp4 |
52.01MB |
| K Nearest Neighbors Application - Practical Machine Learning Tutorial with Python p.14.mp4 |
145.73MB |
| Law of large numbers _ Probability and Statistics _ Khan Academy.mp4 |
7.66MB |
| Lecture 01. Overview (CS 162, Fall 2013, UC Berkeley).mp4 |
255.36MB |
| Lecture 02. Concurrency Processes, Threads, and Address Spaces (CS 162, Fall 2013, UC Berkeley).mp4 |
284.16MB |
| Lecture 03. Concurrency and Thread Dispatching (CS 162, Fall 2013, UC Berkeley).mp4 |
258.42MB |
| Lecture 04. Synchronization, Atomic Operations, Locks (CS 162, Fall 2013, UC Berkeley).mp4 |
147.53MB |
| Lecture 05. Semaphores, Conditional Variables (CS 162, Fall 2013, UC Berkeley).mp4 |
133.24MB |
| Lecture 06. Readers -Writers Problem, Working in Teams (CS 162, Fall 2013, UC Berkeley).mp4 |
157.30MB |
| Lecture 07. Language Support for Concurrent Programming, Deadlocks (CS 162, Fall 2013, UC Berkeley).mp4 |
146.79MB |
| Lecture 08. Thread Scheduling (CS 162, Fall 2013, UC Berkeley).mp4 |
131.95MB |
| Lecture 09. Address Translation (CS 162, Fall 2013, UC Berkeley).mp4 |
145.49MB |
| Lecture 1 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
196.37MB |
| Lecture 1. Introduction and Basics - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
947.89MB |
| Lecture 10 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
207.10MB |
| Lecture 10. Branch Prediction II - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
796.65MB |
| Lecture 10. Caches and TLBs (CS 162, Fall 2013, UC Berkeley).mp4 |
159.59MB |
| Lecture 10 - Cloud Replicated DB, Aurora.mp4 |
597.64MB |
| Lecture 10 – Grounding _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
201.82MB |
| Lecture 11 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
265.03MB |
| Lecture 11. Page Allocation and Replacement (CS 162, Fall 2013, UC Berkeley).mp4 |
138.96MB |
| Lecture 11. Precise Exceptions, State Maintenance_Recovery - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 |
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| Lecture 11 - Cache Consistency - Frangipani.mp4 |
767.35MB |
| Lecture 11 – Semantic Parsing _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
308.16MB |
| Lecture 12 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
215.98MB |
| Lecture 12. Kernel_User, I_O (CS 162, Fall 2013, UC Berkeley).mp4 |
155.84MB |
| Lecture 12. Out of Order Execution - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
1002.01MB |
| Lecture 12 - Distributed Transactions.mp4 |
621.39MB |
| Lecture 12 – Evaluation Methods _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
319.85MB |
| Lecture 13 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
199.69MB |
| Lecture 13. Disk_SSDs, File Systems (Part 1) (CS 162, Fall 2013, UC Berkeley).mp4 |
163.03MB |
| Lecture 13. Out of Order Execution II and Data Flow - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 |
257.92MB |
| Lecture 13 – Evaluation Metrics _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
227.32MB |
| Lecture 13 - Spanner.mp4 |
144.63MB |
| Lecture 14 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
203.90MB |
| Lecture 14. File Systems (Part 2) (CS 162, Fall 2013, UC Berkeley).mp4 |
152.80MB |
| Lecture 14. SIMD (Vector Processors) - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
1.01GB |
| Lecture 14 – Contextual Vectors _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
278.08MB |
| Lecture 14 - Optimistic Concurrency Control.mp4 |
126.96MB |
| Lecture 15 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
273.10MB |
| Lecture 15. GPUs, VLIW, Execution Models - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
272.32MB |
| Lecture 15. Key Value Storage, Network Protocols (CS 162, Fall 2013, UC Berkeley).mp4 |
137.02MB |
| Lecture 15 - Big Data - Spark.mp4 |
218.00MB |
| Lecture 15 – Presenting Your Work _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
231.81MB |
| Lecture 16 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
232.12MB |
| Lecture 16. Layering (CS 162, Fall 2013, UC Berkeley).mp4 |
133.57MB |
| Lecture 16. Static Instruction Scheduling - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
253.94MB |
| Lecture 16 - Cache Consistency - Memcached at Facebook.mp4 |
154.14MB |
| Lecture 17 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
199.32MB |
| Lecture 17. Memory Hierarchy and Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
739.60MB |
| Lecture 17. TCP, Flow Control, Reliability (CS 162, Fall 2013, UC Berkeley).mp4 |
138.81MB |
| Lecture 17 - COPS, Causal Consistency.mp4 |
162.97MB |
| Lecture 18 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
204.29MB |
| Lecture 18. Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
704.30MB |
| Lecture 18. Transactions (CS 162, Fall 2013, UC Berkeley).mp4 |
128.84MB |
| Lecture 18 - Fork Consistency, Certificate Transparency.mp4 |
123.61MB |
| Lecture 19 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
205.46MB |
| Lecture 19. High Performance Caches - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
244.99MB |
| Lecture 19. Transactions, Two Phase Locking 2PL & Commit 2PC (CS 162, Fall 2013, UC Berkeley).mp4 |
219.70MB |
| Lecture 19 - Bitcoin.mp4 |
93.33MB |
| Lecture 1 – Course Overview _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
376.09MB |
| Lecture 1 - Introduction.mp4 |
730.93MB |
| Lecture 1 - Welcome _ Stanford CS229 - Machine Learning (Autumn 2018).mp4 |
217.40MB |
| Lecture 2 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
203.42MB |
| Lecture 2. Fundamental Concepts and ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
948.72MB |
| Lecture 20 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
270.07MB |
| Lecture 20. Virtual Memory - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
1004.58MB |
| Lecture 20. Why Systems Fail and What We Can Do About It (CS 162, Fall 2013, UC Berkeley).mp4 |
143.62MB |
| Lecture 20 - Blockstack.mp4 |
141.03MB |
| Lecture 21 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
268.33MB |
| Lecture 21. Security I - Key Security and Cryptographic Mechanisms (CS 162, Fall 2013, UC Berkeley).mp4 |
150.56MB |
| Lecture 21 - Main Memory and the DRAM System - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
232.95MB |
| Lecture 22 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
183.56MB |
| Lecture 22. Security II - Host Compromise & Denial of Service (CS 162, Fall 2013, UC Berkeley).mp4 |
131.05MB |
| Lecture 22 - Memory Controllers - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
1021.57MB |
| Lecture 23 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
161.24MB |
| Lecture 23. Remote Procedure Call (CS 162, Fall 2013, UC Berkeley).mp4 |
286.70MB |
| Lecture 23 - Memory Management - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
1.09GB |
| Lecture 24. Capstone - Cloud Computing (CS 162, Fall 2013, UC Berkeley).mp4 |
263.70MB |
| Lecture 24 - Simulation & Memory Latency Tolerance - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
1.03GB |
| Lecture 25 - Prefetching - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
693.75MB |
| Lecture 26. More Prefetching and Emerging Memory Technologies - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 |
1.14GB |
| Lecture 27. Multiprocessors - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
839.28MB |
| Lecture 28. Memory Consistency and Cache Coherence - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
1.05GB |
| Lecture 29. Cache Coherence - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
940.47MB |
| Lecture 2 - RPC and Threads.mp4 |
570.72MB |
| Lecture 2 – Word Vectors 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
303.94MB |
| Lecture 3 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
198.35MB |
| Lecture 3. ISA Tradeoffs - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
520.51MB |
| Lecture 30. In-memory Processing - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
191.30MB |
| Lecture 31. Predictable Performance - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
853.51MB |
| Lecture 32. Heterogeneous Systems - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
1.09GB |
| Lecture 33. Interconnection Networks - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
914.49MB |
| Lecture 3 - GFS.mp4 |
815.54MB |
| Lecture 3 – Word Vectors 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
327.56MB |
| Lecture 4 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
219.35MB |
| Lecture 4. ISA Tradeoffs & MIPS ISA - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
728.02MB |
| Lecture 4 - Primary-Backup Replication.mp4 |
823.42MB |
| Lecture 4 – Word Vectors 3 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
152.54MB |
| Lecture 5 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
253.97MB |
| Lecture 5. Intro to Microarchitecture - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
787.39MB |
| Lecture 5 - Go, Threads, and Raft.mp4 |
405.67MB |
| Lecture 5 – Sentiment Analysis 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
273.15MB |
| Lecture 6 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
224.75MB |
| Lecture 6. Microarchitecture II - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
1.09GB |
| Lecture 6 - Fault Tolerance - Raft (1).mp4 |
729.80MB |
| Lecture 6 – Sentiment Analysis 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
300.44MB |
| Lecture 7 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
169.59MB |
| Lecture 7. Pipelining - Carnegie Mellon - Computer Architecture 2015 - Onur Mutlu.mp4 |
893.91MB |
| Lecture 7 - Fault Tolerance - Raft (2).mp4 |
589.18MB |
| Lecture 7 – Relation Extraction _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
264.33MB |
| Lecture 8 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
193.56MB |
| Lecture 8. Pipelining II - Data and Control Dependence Handling - CMU - Comp. Arch. 2015 - Onur Mutlu.mp4 |
1.11GB |
| Lecture 8 – NLI 1 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
270.77MB |
| Lecture 8 - Zookeeper.mp4 |
808.01MB |
| Lecture 9 _ MIT 6.832 Underactuated Robotics, Spring 2009.mp4 |
178.30MB |
| Lecture 9. Branch Prediction I - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
1.07GB |
| Lecture 9 - More Replication, CRAQ.mp4 |
890.57MB |
| Lecture 9 – NLI 2 _ Stanford CS224U - Natural Language Understanding _ Spring 2019.mp4 |
296.22MB |
| Linear Algebra 1.1.1 Systems of Linear Equations.mp4 |
37.61MB |
| Linear Algebra 1.1.2 Solve Systems of Linear Equations in Augmented Matrices Using Row Operations.mp4 |
54.98MB |
| Linear Algebra 1.2.1 Row Reduction and Echelon Forms.mp4 |
41.99MB |
| Linear Algebra 1.2.2 Solution Sets and Free Variables.mp4 |
29.74MB |
| Linear Algebra 1.3.1 Vector Equations.mp4 |
30.36MB |
| Linear Algebra 1.3.2 Linear Combinations.mp4 |
106.05MB |
| Linear Algebra 1.4.1 The Matrix Equation Ax=b.mp4 |
24.49MB |
| Linear Algebra 1.4.2 Computation of Ax.mp4 |
20.33MB |
| Linear Algebra 1.5.1 Homogeneous System Solutions.mp4 |
32.97MB |
| Linear Algebra 1.5.2 Non-Homogeneous System Solutions.mp4 |
21.01MB |
| Linear Algebra 1.6.1 Applications of Linear Systems - Economic Sectors.mp4 |
16.25MB |
| Linear Algebra 1.6.2 Applications of Linear Systems - Network Flow.mp4 |
21.73MB |
| Linear Algebra 1.7.1 Linear Independence.mp4 |
24.45MB |
| Linear Algebra 1.7.2 Special Ways to Determine Linear Independence.mp4 |
20.25MB |
| Linear Algebra 1.8.1 Matrix Transformations.mp4 |
34.31MB |
| Linear Algebra 1.8.2 Introduction to Linear Transformations.mp4 |
20.75MB |
| Linear Algebra 2.1.1 Matrix Operations - Sums and Scalar Multiples.mp4 |
27.41MB |
| Linear Algebra 2.1.2 Matrix Operations - Multiplication and Transpose.mp4 |
61.24MB |
| Linear Algebra 2.2.1 The Inverse of a Matrix.mp4 |
30.54MB |
| Linear Algebra 2.2.2 Solving 2x2 Systems with the Inverse and Inverse Properties.mp4 |
30.49MB |
| Linear Algebra 2.2.3 Elementary Matrices And An Algorithm for Finding A Inverse.mp4 |
84.81MB |
| Linear Algebra 2.3.1 Characterizations of Invertible Matrices.mp4 |
14.86MB |
| Linear Algebra 3.1.1 Introduction to Determinants.mp4 |
30.62MB |
| Linear Algebra 3.1.2 Co-factor Expansion.mp4 |
32.22MB |
| Linear Algebra 3.2.1 Properties of Determinants.mp4 |
52.08MB |
| Linear Algebra 4.1.1 Vector Spaces.mp4 |
41.90MB |
| Linear Algebra 4.1.2 Subspace of a Vector Space.mp4 |
39.46MB |
| Linear Algebra 4.2.1 Null Spaces.mp4 |
36.69MB |
| Linear Algebra 4.2.2 Column Spaces.mp4 |
42.12MB |
| Linear Algebra 4.3.1 Linearly Independent Sets and Bases.mp4 |
37.67MB |
| Linear Algebra 4.3.2 The Spanning Set Theorem.mp4 |
42.25MB |
| Linear Algebra 4.5.1 The Dimension of a Vector Space.mp4 |
23.03MB |
| Linear Algebra 4.5.2 Subspaces of a Finite Dimensional Space.mp4 |
19.95MB |
| Linear Algebra 4.6.1 The Row Space.mp4 |
30.71MB |
| Linear Algebra 4.6.2 Rank.mp4 |
10.01MB |
| Linear Algebra 5.1.1 Eigenvectors and Eigenvalues.mp4 |
38.48MB |
| Linear Algebra 5.1.2 More About Eigenvectors and Eigenvalues.mp4 |
22.04MB |
| Linear Algebra 5.2.1 Determinants and the IMT.mp4 |
19.46MB |
| Linear Algebra 5.2.2 The Characteristic Equation.mp4 |
19.66MB |
| Linear Algebra 6.1.1 Inner Product, Vector Length and Distance.mp4 |
24.53MB |
| Linear Algebra 6.1.2 Orthogonal Vectors.mp4 |
16.66MB |
| Linear Algebra 6.2.1 Orthogonal Sets.mp4 |
29.56MB |
| Linear Algebra 6.2.2 Orthogonal Projections.mp4 |
20.80MB |
| Linear Algebra 6.3.1 Orthogonal Decomposition Theorem.mp4 |
18.13MB |
| Linear Algebra 6.3.2 The Best Approximation Theorem.mp4 |
21.43MB |
| Linear Algebra 6.5.1 Least Squares Problems.mp4 |
40.50MB |
| LinkedList 10 Testing the list.mp4 |
53.66MB |
| LinkedList 11 Iterators.mp4 |
179.57MB |
| LinkedList 12 Double Linked Lists.mp4 |
92.10MB |
| LinkedList 13 Circular Linked Lists.mp4 |
64.91MB |
| LinkedList 1 Introduction.mp4 |
62.02MB |
| LinkedList 2 Nodes and Size.mp4 |
74.36MB |
| LinkedList 3 Boundary Conditions.mp4 |
26.31MB |
| LinkedList 4 addFirst().mp4 |
79.75MB |
| LinkedList 5 addLast().mp4 |
166.99MB |
| LinkedList 6 removeFirst().mp4 |
99.52MB |
| LinkedList 7 removeLast().mp4 |
104.43MB |
| LinkedList 8 remove and find.mp4 |
196.04MB |
| LinkedList 9 peek().mp4 |
45.01MB |
| Linked List in Java.mp4 |
37.01MB |
| Linked List in Java 2.mp4 |
54.20MB |
| Machine Learning for Scent _ MIT 6.S191.mp4 |
89.26MB |
| Main Memory _ Chapter-8 _ Operating System.mp4 |
10.83MB |
| Maintenance Activities.mp4 |
51.16MB |
| Manual Vs Automated Testing.mp4 |
26.44MB |
| Mean Shift Dynamic Bandwidth - Practical Machine Learning Tutorial with Python p.42.mp4 |
72.58MB |
| Mean Shift from Scratch - Practical Machine Learning Tutorial with Python p.41.mp4 |
35.42MB |
| Mean Shift Intro - Practical Machine Learning Tutorial with Python p.39.mp4 |
52.50MB |
| Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40.mp4 |
185.44MB |
| Mega millions jackpot probability _ Probability and combinatorics _ Precalculus _ Khan Academy.mp4 |
11.81MB |
| Mega-R1. Rule-Based Systems.mp4 |
447.56MB |
| Mega-R2. Basic Search, Optimal Search.mp4 |
387.54MB |
| Mega-R3. Games, Minimax, Alpha-Beta.mp4 |
237.03MB |
| Mega-R4. Neural Nets.mp4 |
426.63MB |
| Mega-R5. Support Vector Machines.mp4 |
130.94MB |
| Mega-R6. Boosting.mp4 |
342.46MB |
| Mega-R7. Near Misses, Arch Learning.mp4 |
203.23MB |
| Message Passing Systems (Part 1).mp4 |
18.04MB |
| Message Passing Systems (Part 2).mp4 |
44.37MB |
| Message Passing Systems (Part 3).mp4 |
24.98MB |
| Midterm 1 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
855.57MB |
| Midterm 2 Review - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
257.27MB |
| MIT 6.S094 - Computer Vision.mp4 |
135.01MB |
| MIT 6.S191 (2018) - Beyond Deep Learning - Learning+Reasoning.mp4 |
73.41MB |
| MIT 6.S191 (2018) - Computer Vision Meets Social Networks.mp4 |
195.62MB |
| MIT 6.S191 (2018) - Convolutional Neural Networks.mp4 |
179.02MB |
| MIT 6.S191 (2018) - Deep Generative Modeling.mp4 |
96.73MB |
| MIT 6.S191 (2018) - Deep Learning - A Personal Perspective.mp4 |
209.58MB |
| MIT 6.S191 (2018) - Deep Learning Limitations and New Frontiers.mp4 |
55.20MB |
| MIT 6.S191 (2018) - Deep Reinforcement Learning.mp4 |
187.42MB |
| MIT 6.S191 (2018) - Faster ML Development with TensorFlow.mp4 |
30.84MB |
| MIT 6.S191 (2018) - Introduction to Deep Learning.mp4 |
167.85MB |
| MIT 6.S191 (2018) - Issues in Image Classification.mp4 |
67.75MB |
| MIT 6.S191 (2018) - Sequence Modeling with Neural Networks.mp4 |
40.31MB |
| MIT 6.S191 (2019) - Biologically Inspired Neural Networks (IBM).mp4 |
73.45MB |
| MIT 6.S191 (2019) - Convolutional Neural Networks.mp4 |
99.37MB |
| MIT 6.S191 (2019) - Deep Generative Modeling.mp4 |
92.43MB |
| MIT 6.S191 (2019) - Deep Learning Limitations and New Frontiers.mp4 |
88.78MB |
| MIT 6.S191 (2019) - Deep Reinforcement Learning.mp4 |
96.77MB |
| MIT 6.S191 (2019) - Image Domain Transfer (NVIDIA).mp4 |
139.92MB |
| MIT 6.S191 (2019) - Introduction to Deep Learning.mp4 |
93.16MB |
| MIT 6.S191 (2019) - Recurrent Neural Networks.mp4 |
75.87MB |
| MIT 6.S191 (2019) - Visualization for Machine Learning (Google Brain).mp4 |
90.34MB |
| MIT Introduction to Deep Learning _ 6.S191.mp4 |
111.49MB |
| MIT Self-Driving Cars (2018).mp4 |
240.69MB |
| Modularization.mp4 |
28.72MB |
| MongoDB In 30 Minutes.mp4 |
60.61MB |
| Multilevel Feedback-Queue Scheduling Algorithm.mp4 |
42.06MB |
| Multilevel Queue Scheduling Algorithm.mp4 |
59.52MB |
| Multithreading Models & Hyperthreading.mp4 |
30.46MB |
| Need of Software Engineering.mp4 |
27.91MB |
| Need of Software Project Management.mp4 |
36.98MB |
| Neural Network Model - Deep Learning with Neural Networks and TensorFlow.mp4 |
74.64MB |
| Neural Rendering _ MIT 6.S191.mp4 |
151.55MB |
| Neurosymbolic AI _ MIT 6.S191.mp4 |
93.63MB |
| Object Oriented Design.mp4 |
71.33MB |
| Oliver Cameron (CEO, Voyage) - MIT Self-Driving Cars.mp4 |
168.03MB |
| OpenCV Course - Full Tutorial with Python.mp4 |
419.96MB |
| Operating System Design & Implementation.mp4 |
21.64MB |
| Operating System Generation and System Boot.mp4 |
49.38MB |
| Operating System Services.mp4 |
16.50MB |
| Operating System Structure.mp4 |
21.56MB |
| Operation on Processes – Process Creation.mp4 |
45.95MB |
| Operation on Processes – Process Termination.mp4 |
18.22MB |
| Overview of Software Engineering.mp4 |
57.16MB |
| Permutations.mp4 |
9.94MB |
| Pickling and Scaling - Practical Machine Learning Tutorial with Python p.6.mp4 |
32.36MB |
| Poisson process 1 _ Probability and Statistics _ Khan Academy.mp4 |
10.88MB |
| Poisson process 2 _ Probability and Statistics _ Khan Academy.mp4 |
13.75MB |
| Practical Machine Learning Tutorial with Python Intro p.1.mp4 |
21.10MB |
| Preemptive and Non-Preemptive Scheduling.mp4 |
38.98MB |
| Preprocessing cont'd - Deep Learning with Neural Networks and TensorFlow part 6.mp4 |
53.67MB |
| Preprocessing data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.5.mp4 |
51.24MB |
| Priority Scheduling (Solved Problem 1).mp4 |
51.57MB |
| Priority Scheduling (Solved Problem 2).mp4 |
28.58MB |
| Probability (part 2).mp4 |
9.28MB |
| Probability (part 3).mp4 |
9.62MB |
| Probability (part 4).mp4 |
10.57MB |
| Probability (part 5).mp4 |
10.12MB |
| Probability (part 6).mp4 |
8.80MB |
| Probability (part 7).mp4 |
9.27MB |
| Probability (part 8).mp4 |
5.53MB |
| Probability and combinations (part 2) _ Probability and Statistics _ Khan Academy.mp4 |
10.99MB |
| Probability density functions _ Probability and Statistics _ Khan Academy.mp4 |
10.81MB |
| Probability explained _ Independent and dependent events _ Probability and Statistics _ Khan Academy.mp4 |
8.53MB |
| Probability using combinations _ Probability and Statistics _ Khan Academy.mp4 |
8.67MB |
| Probability without equally likely events _ Probability and Statistics _ Khan Academy.mp4 |
9.48MB |
| Probability with playing cards and Venn diagrams _ Probability and Statistics _ Khan Academy.mp4 |
13.36MB |
| Process Control Block.mp4 |
9.40MB |
| Processing our own Data - Deep Learning with Neural Networks and TensorFlow part 5.mp4 |
50.28MB |
| Process Management (Processes and Threads).mp4 |
13.14MB |
| Process Scheduling.mp4 |
16.25MB |
| Process State.mp4 |
14.99MB |
| Process Synchronization _ Chapter-6 _ Operating System.mp4 |
7.11MB |
| Programming R Squared - Practical Machine Learning Tutorial with Python p.11.mp4 |
47.73MB |
| Programming Style.mp4 |
55.71MB |
| Project Communication Management.mp4 |
49.35MB |
| Project Estimation.mp4 |
70.03MB |
| Project Estimation Techniques.mp4 |
39.38MB |
| Project Execution and Monitoring.mp4 |
54.34MB |
| Project Management Tools.mp4 |
66.95MB |
| Project Risk Management.mp4 |
56.13MB |
| Project Scheduling.mp4 |
71.25MB |
| Pseudo Code.mp4 |
22.77MB |
| Python Django Tutorial - Deploying Your Application (Option #1) - Deploy to a Linux Server.mp4 |
125.92MB |
| Python Django Tutorial - Deploying Your Application (Option #2) - Deploy using Heroku.mp4 |
91.80MB |
| Python Django Tutorial - Full-Featured Web App Part 10 - Create, Update, and Delete Posts.mp4 |
82.12MB |
| Python Django Tutorial - Full-Featured Web App Part 11 - Pagination.mp4 |
65.50MB |
| Python Django Tutorial - Full-Featured Web App Part 12 - Email and Password Reset.mp4 |
40.10MB |
| Python Django Tutorial - Full-Featured Web App Part 13 - Using AWS S3 for File Uploads.mp4 |
44.05MB |
| Python Django Tutorial - Full-Featured Web App Part 1 - Getting Started.mp4 |
24.59MB |
| Python Django Tutorial - Full-Featured Web App Part 2 - Applications and Routes.mp4 |
31.71MB |
| Python Django Tutorial - Full-Featured Web App Part 3 - Templates.mp4 |
68.54MB |
| Python Django Tutorial - Full-Featured Web App Part 4 - Admin Page.mp4 |
13.93MB |
| Python Django Tutorial - Full-Featured Web App Part 5 - Database and Migrations.mp4 |
58.17MB |
| Python Django Tutorial - Full-Featured Web App Part 6 - User Registration.mp4 |
86.10MB |
| Python Django Tutorial - Full-Featured Web App Part 7 - Login and Logout System.mp4 |
47.42MB |
| Python Django Tutorial - Full-Featured Web App Part 8 - User Profile and Picture.mp4 |
49.90MB |
| Python Django Tutorial - Full-Featured Web App Part 9 - Update User Profile.mp4 |
45.30MB |
| Python Django Tutorial - How to enable HTTPS with a free SSL_TLS Certificate using Let's Encrypt.mp4 |
39.41MB |
| Python Django Tutorial - How to Use a Custom Domain Name for Our Application.mp4 |
44.20MB |
| Python Django Web Framework - Full Course for Beginners.mp4 |
494.09MB |
| Q-Learning Agent Analysis - Reinforcement Learning p.3.mp4 |
61.02MB |
| Q Learning Algorithm and Agent - Reinforcement Learning p.2.mp4 |
66.47MB |
| Q Learning Intro_Table - Reinforcement Learning p.1.mp4 |
46.57MB |
| Qt Tutorial 2 - C++ Calculator.mp4 |
68.32MB |
| Qt Tutorial 3 - Qt Charts.mp4 |
52.56MB |
| Qt Tutorial 4 - C++ Paint App.mp4 |
41.42MB |
| Qt Tutorial 5 - Finish Paint App.mp4 |
82.55MB |
| Qt Tutorial - C++ Notepad App.mp4 |
65.09MB |
| Rapid Application Development (RAD).mp4 |
36.68MB |
| Reading Files - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.2.mp4 |
87.57MB |
| Recitation 3 - Carnegie Mellon - Comp. Arch. 2015 - Onur Mutlu.mp4 |
594.65MB |
| Recurrent Neural Networks _ MIT 6.S191.mp4 |
106.94MB |
| Recurrent Neural Networks (RNN) - Deep Learning with Neural Networks and TensorFlow 10.mp4 |
23.99MB |
| Red Black Tree 10 number of black nodes.mp4 |
29.79MB |
| Red Black Tree 1 The Rules.mp4 |
68.09MB |
| Red Black Tree 3 - Classes.mp4 |
58.28MB |
| Red Black Tree 4 - Add methods.mp4 |
92.17MB |
| Red Black Tree 5 checking violations in the tree.mp4 |
121.40MB |
| Red Black Tree 6 The Rotate method.mp4 |
68.69MB |
| Red Black Tree 7 left rotate.mp4 |
118.53MB |
| Red Black Tree 8 leftRightRotate.mp4 |
27.49MB |
| Red Black Tree 9 height.mp4 |
35.64MB |
| Red Black Trees 2 Example of building a tree.mp4 |
49.39MB |
| Regression Features and Labels - Practical Machine Learning Tutorial with Python p.3.mp4 |
22.27MB |
| Regression forecasting and predicting - Practical Machine Learning Tutorial with Python p.5.mp4 |
92.45MB |
| Regression How it Works - Practical Machine Learning Tutorial with Python p.7.mp4 |
10.12MB |
| Regression Intro - Practical Machine Learning Tutorial with Python p.2.mp4 |
22.71MB |
| Regression Training and Testing - Practical Machine Learning Tutorial with Python p.4.mp4 |
34.81MB |
| Reinforcement Learning _ MIT 6.S191.mp4 |
94.31MB |
| Remote Procedure Calls (RPC).mp4 |
33.07MB |
| Requirement Elicitation Techniques.mp4 |
78.74MB |
| Requirement Engineering Process.mp4 |
74.06MB |
| Resizing Data - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.4.mp4 |
54.30MB |
| Resource Management.mp4 |
40.19MB |
| Review Session 1 - CMU - Computer Architecture 2014 - Onur Mutlu.mp4 |
308.32MB |
| Review Session 2 - CMU - Computer Architecture 2014 - Onur Mutlu.mp4 |
685.39MB |
| RNN Example in Tensorflow - Deep Learning with Neural Networks 11.mp4 |
112.46MB |
| Rosalind Problems - Counting DNA Nucleotides.mp4 |
28.95MB |
| Rosalind Problems - Fibonacci, Rabbits and Recurrence Relations..mp4 |
44.71MB |
| Rosalind Problems - GC Content, FASTA File Format, Data Processing..mp4 |
67.98MB |
| Rosalind Problems - Python Village.mp4 |
57.06MB |
| Rosalind Problems - Transcription and Reverse Complement.mp4 |
18.04MB |
| Round Robin Scheduling (Turnaround Time & Waiting Time).mp4 |
46.46MB |
| Round Robin Scheduling - Solved Problem (Part 1).mp4 |
30.19MB |
| Round Robin Scheduling - Solved Problem (Part 2).mp4 |
24.89MB |
| R Squared Theory - Practical Machine Learning Tutorial with Python p.10.mp4 |
9.60MB |
| Running our Network - Deep Learning with Neural Networks and TensorFlow.mp4 |
65.51MB |
| Running the Network - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.6.mp4 |
133.18MB |
| Sacha Arnoud, Director of Engineering, Waymo - MIT Self-Driving Cars.mp4 |
221.32MB |
| Scheduling Algorithms - First Come First Served (FCFS).mp4 |
30.47MB |
| Scheduling Algorithms - Priority Scheduling.mp4 |
45.45MB |
| Scheduling Algorithms - Round Robin Scheduling.mp4 |
75.64MB |
| Scheduling Algorithms - Shortest Job First (SJF).mp4 |
53.46MB |
| Scheduling Algorithms – Solved Problems.mp4 |
88.90MB |
| Scheduling Criteria.mp4 |
75.20MB |
| Scope of CASE Tools.mp4 |
80.31MB |
| Scrum Development Model.mp4 |
36.14MB |
| Self-Driving Cars - State of the Art (2019).mp4 |
148.44MB |
| Sertac Karaman (MIT) on Motion Planning in a Complex World - MIT Self-Driving Cars.mp4 |
476.51MB |
| Setup Visual Studio Code Mac.mp4 |
14.09MB |
| Setup Visual Studio Code Windows.mp4 |
23.27MB |
| Shared Memory Systems.mp4 |
28.05MB |
| Shortest Job First Scheduling (Solved Problem 1).mp4 |
35.90MB |
| Shortest Job First Scheduling (Solved Problem 2).mp4 |
22.51MB |
| Sockets in Operating System.mp4 |
21.53MB |
| Soft Margin SVM and Kernels with CVXOPT - Practical Machine Learning Tutorial with Python p.32.mp4 |
52.25MB |
| Soft Margin SVM - Practical Machine Learning Tutorial with Python p.31.mp4 |
44.91MB |
| Software Design Approaches.mp4 |
35.46MB |
| Software Design Levels.mp4 |
28.49MB |
| Software Development Life Cycle.mp4 |
83.97MB |
| Software Development Paradigm.mp4 |
17.53MB |
| Software Documentation.mp4 |
70.70MB |
| Software Engineering Basics.mp4 |
11.74MB |
| Software Evolution.mp4 |
27.36MB |
| Software Evolution Laws.mp4 |
25.87MB |
| Software Maintenance Overview.mp4 |
24.34MB |
| Software Metrics and Measures.mp4 |
42.39MB |
| Software Paradigms.mp4 |
28.98MB |
| Software Project Management.mp4 |
35.45MB |
| Software Project Management Activities.mp4 |
61.84MB |
| Software Project Manager.mp4 |
30.19MB |
| Software Quality Attributes.mp4 |
40.68MB |
| Software Re engineering.mp4 |
52.78MB |
| Software Requirements.mp4 |
36.12MB |
| Software User Interface Design.mp4 |
35.45MB |
| Software Validation and Verification.mp4 |
46.51MB |
| Solving Programming Problems.mp4 |
45.51MB |
| Solving Programming Problems 2.mp4 |
124.99MB |
| Sorts 10 Quick Sort Code.mp4 |
61.07MB |
| Sorts 11 Radix Sort.mp4 |
43.51MB |
| Sorts 12 Sort Summary.mp4 |
63.96MB |
| Sorts 1 Introduction to sorts.mp4 |
68.83MB |
| Sorts 2 Selection Sort.mp4 |
38.58MB |
| Sorts 3 Insertion Sort.mp4 |
51.69MB |
| Sorts 4 Insertion Sort Code.mp4 |
28.85MB |
| Sorts 5 Shell Sort.mp4 |
39.47MB |
| Sorts 6 Merge Sort.mp4 |
64.88MB |
| Sorts 7 Merge Sort Code.mp4 |
68.29MB |
| Sorts 8 Quick Sort.mp4 |
33.83MB |
| Sorts 9 Quick Sort Worst Case.mp4 |
8.95MB |
| Spiral Model.mp4 |
44.75MB |
| SQL Tutorial - Full Database Course for Beginners.mp4 |
1.22GB |
| Stacks and Queues.mp4 |
35.52MB |
| Stacks and Queues 3 Using arrays to write stacks and queues.mp4 |
110.95MB |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 10 – Question Answering.mp4 |
196.92MB |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 11 – Convolutional Networks for NLP.mkv |
614.34MB |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 1 – Introduction and Word Vectors.mp4 |
173.01MB |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 2 – Word Vectors and Word Senses.mp4 |
195.36MB |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 3 – Neural Networks.mp4 |
190.88MB |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 4 – Backpropagation.mp4 |
205.80MB |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 5 – Dependency Parsing.mp4 |
139.41MB |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 6 – Language Models and RNNs.mp4 |
143.66MB |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 7 – Vanishing Gradients, Fancy RNNs.mp4 |
130.52MB |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 8 – Translation, Seq2Seq, Attention.mp4 |
127.81MB |
| Stanford CS224N - NLP with Deep Learning _ Winter 2019 _ Lecture 9 – Practical Tips for Projects.mp4 |
154.29MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 10 - Policy Gradient III & Review.mp4 |
239.54MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 11 - Fast Reinforcement Learning.mp4 |
369.90MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 12 - Fast Reinforcement Learning II.mp4 |
222.72MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 13 - Fast Reinforcement Learning III.mp4 |
484.52MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 15 - Batch Reinforcement Learning.mp4 |
131.90MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 16 - Monte Carlo Tree Search.mp4 |
135.22MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 1 - Introduction.mp4 |
127.71MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 2 - Given a Model of the World.mp4 |
134.73MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 3 - Model-Free Policy Evaluation.mp4 |
318.47MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 4 - Model Free Control.mp4 |
211.88MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 5 - Value Function Approximation.mp4 |
141.28MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 6 - CNNs and Deep Q Learning.mp4 |
163.27MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 7 - Imitation Learning.mp4 |
175.17MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 8 - Policy Gradient I.mp4 |
270.00MB |
| Stanford CS234 - Reinforcement Learning _ Winter 2019 _ Lecture 9 - Policy Gradient II.mp4 |
217.37MB |
| Statistics Lecture 1.1 - The Key Words and Definitions For Elementary Statistics.mp4 |
43.02MB |
| Statistics Lecture 1.3 - Exploring Categories of Data, Levels of Measurement.mp4 |
118.44MB |
| Statistics Lecture 1.5 - Sampling Techniques. How to Develop a Random Sample.mp4 |
273.84MB |
| Statistics Lecture 2.2 - Creating Frequency Distribution and Histograms.mp4 |
579.87MB |
| Statistics Lecture 3.2 - Finding the Center of a Data Set. Mean, Median, Mode.mp4 |
248.59MB |
| Statistics Lecture 3.3 - Finding the Standard Deviation of a Data Set.mp4 |
1003.05MB |
| Statistics Lecture 3.4 - Finding Z-Score, Percentiles and Quartiles, and Comparing Standard Deviation.mp4 |
332.88MB |
| Statistics Lecture 4.2 - Introduction to Probability.mp4 |
323.26MB |
| Statistics Lecture 4.3 - The Addition Rule for Probability.mp4 |
263.17MB |
| Statistics Lecture 4.4 - The Multiplication Rule for 'And' Probabilities..mp4 |
573.42MB |
| Statistics Lecture 4.5 - Probability of Complementary Events with 'At Least One'.mp4 |
121.22MB |
| Statistics Lecture 4.7 - Fundamental Counting Rule, Permutations and Combinations.mp4 |
358.00MB |
| Statistics Lecture 5.2 - A Study of Probability Distributions, Mean, and Standard Deviation.mp4 |
294.20MB |
| Statistics Lecture 5.3 - A Study of Binomial Probability Distributions.mp4 |
798.71MB |
| Statistics Lecture 5.4 - Finding Mean and Standard Deviation of a Binomial Probability Distribution.mp4 |
109.82MB |
| Statistics Lecture 6.2 - Introduction to the Normal Distribution and Continuous Random Variables.mp4 |
671.07MB |
| Statistics Lecture 6.3 - The Standard Normal Distribution. Using z-score, Standard Score.mp4 |
496.73MB |
| Statistics Lecture 6.4 - Sampling Distributions Statistics. Using Samples to Approx. Populations.mp4 |
161.98MB |
| Statistics Lecture 6.5 - The Central Limit Theorem for Statistics. Using z-score, Standard Score.mp4 |
803.27MB |
| Statistics Lecture 7.2 - Finding Confidence Intervals for the Population Proportion.mp4 |
1.23GB |
| Statistics Lecture 7.3 - Confidence Interval for the Sample Mean, Population Std Dev -- Known.mp4 |
162.88MB |
| Statistics Lecture 7.4 - Confidence Interval for the Sample Mean, Population Std Dev -- Unknown.mp4 |
203.15MB |
| Statistics Lecture 7.5 - Confidence Intervals for Variance and Std Dev. Chi-Squared Distribution..mp4 |
84.06MB |
| Statistics Lecture 8.2 - An Introduction to Hypothesis Testing.mp4 |
423.96MB |
| Statistics Lecture 8.3 - Hypothesis Testing for Population Proportion.mp4 |
334.88MB |
| Statistics Lecture 8.4 - Hypothesis Testing for Population Mean. Population Std Dev is Known..mp4 |
123.22MB |
| Statistics Lecture 8.5 - Hypothesis Testing for Population Mean. Population Std Dev is Unknown..mp4 |
130.03MB |
| Statistics Lecture 8.6 - Hypothesis Testing Involving Variance and Standard Deviation..mp4 |
37.70MB |
| Sterling Anderson, Co-Founder, Aurora - MIT Self-Driving Cars.mp4 |
319.31MB |
| Structured Charts.mp4 |
41.85MB |
| Structured Design.mp4 |
29.54MB |
| Structured English.mp4 |
37.56MB |
| Structured Evolutionary Prototyping Model.mp4 |
63.43MB |
| Structured Programming.mp4 |
43.53MB |
| Structures of Operating System.mp4 |
28.69MB |
| Support Vector Assertion - Practical Machine Learning Tutorial with Python p.22.mp4 |
13.86MB |
| Support Vector Machine Fundamentals - Practical Machine Learning Tutorial with Python p.23.mp4 |
19.69MB |
| Support Vector Machine Intro and Application - Practical Machine Learning Tutorial with Python p.20.mp4 |
17.11MB |
| Support Vector Machine Optimization - Practical Machine Learning Tutorial with Python p.24.mp4 |
61.05MB |
| SVM Optimization - Practical Machine Learning Tutorial with Python p.27.mp4 |
111.86MB |
| SVM Parameters - Practical Machine Learning Tutorial with Python p.33.mp4 |
40.03MB |
| SVM Training - Practical Machine Learning Tutorial with Python p.26.mp4 |
49.70MB |
| Swift for TensorFlow - The Next-Generation Machine Learning Framework (TF Dev Summit '19).mp4 |
97.17MB |
| Swift Programming Tutorial for Beginners (Full Tutorial).mp4 |
689.67MB |
| System Calls.mp4 |
20.73MB |
| System Programs.mp4 |
20.08MB |
| TensorFlow Basics - Deep Learning with Neural Networks p. 2.mp4 |
37.81MB |
| TensorFlow Lite for Android (Coding TensorFlow).mp4 |
34.14MB |
| TensorFlow Lite for iOS (Coding TensorFlow).mp4 |
38.19MB |
| Term life insurance and death probability _ Finance & Capital Markets _ Khan Academy.mp4 |
8.18MB |
| Testing Approaches.mp4 |
25.82MB |
| Testing Assumptions - Practical Machine Learning Tutorial with Python p.12.mp4 |
154.03MB |
| Testing Documentation.mp4 |
46.39MB |
| Testing Levels.mp4 |
71.50MB |
| Testing Network - Training a neural network to play a game with TensorFlow and Open AI p.4.mp4 |
68.83MB |
| TFLearn - Deep Learning with Neural Networks and TensorFlow p. 14.mp4 |
134.40MB |
| Threading Issues (Thread Cancellation).mp4 |
39.79MB |
| Threading Issues [fork() & exec() System Calls].mp4 |
47.05MB |
| Three pointer vs free throwing probability _ Probability and Statistics _ Khan Academy.mp4 |
11.36MB |
| Training_Testing on our Data - Deep Learning with Neural Networks and TensorFlow part 7.mp4 |
98.48MB |
| Training & Testing Deep reinforcement learning (DQN) Agent - Reinforcement Learning p.6.mp4 |
119.65MB |
| Training Data - Training a neural network to play a game with TensorFlow and Open AI p.2.mp4 |
44.83MB |
| Training Model - Training a neural network to play a game with TensorFlow and Open AI p.3.mp4 |
61.45MB |
| Training - Using Convolutional Neural Network to Identify Dogs vs Cats p. 3.mp4 |
77.74MB |
| Trees 10 Rotations.mp4 |
70.96MB |
| Trees 11 Coding Rotations.mp4 |
41.97MB |
| Trees 2 Complete and Full.mp4 |
15.42MB |
| Trees 3 Traversal.mp4 |
69.42MB |
| Trees 4 Expression Trees.mp4 |
31.83MB |
| Trees 5 Node Class.mp4 |
53.10MB |
| Trees 6 recursive add.mp4 |
131.82MB |
| Trees 7 Contains.mp4 |
43.10MB |
| Trees 8 Remove.mp4 |
98.88MB |
| Trees 9 Introduction to rotations.mp4 |
75.31MB |
| Trees and heaps 1 Introduction.mp4 |
37.04MB |
| Tutorix Brings Simply Easy Learning.mp4 |
1.72MB |
| Tutorix Simply Easy Learning Steps.mp4 |
2.29MB |
| Types of Maintenance.mp4 |
28.98MB |
| Types of System Calls.mp4 |
16.28MB |
| UML 2.0 Activity Diagrams.mp4 |
27.50MB |
| UML 2.0 Class Diagrams.mp4 |
35.58MB |
| UML 2.0 Tutorial.mp4 |
24.98MB |
| UML 2 Communication Diagrams.mp4 |
18.13MB |
| UML 2 Component Diagrams.mp4 |
50.40MB |
| UML 2 Deployment Diagrams.mp4 |
28.66MB |
| UML 2 Sequence Diagrams.mp4 |
89.93MB |
| UML 2 State Machine Diagrams.mp4 |
70.14MB |
| UML 2 Timing Diagrams.mp4 |
22.18MB |
| Understanding Vectors - Practical Machine Learning Tutorial with Python p.21.mp4 |
6.77MB |
| User Interface Golden Rules.mp4 |
56.93MB |
| User Interface Requirements.mp4 |
30.03MB |
| User Operating System Interface.mp4 |
23.59MB |
| Using More Data - Deep Learning with Neural Networks and TensorFlow part 8.mp4 |
112.79MB |
| Using our Network - Using Convolutional Neural Network to Identify Dogs vs Cats p. 4.mp4 |
38.99MB |
| Virtual Machines.mp4 |
43.71MB |
| Virtual Memory _ Chapter-9 _ Operating System.mp4 |
9.70MB |
| Visualizing - 3D Convolutional Neural Network w_ Kaggle and 3D medical imaging p.3.mp4 |
22.41MB |
| V Model.mp4 |
37.46MB |
| Waterfall Model.mp4 |
68.92MB |
| Welcome to Data Structures.mp4 |
4.44MB |
| White Box Testing.mp4 |
22.07MB |
| Why Kernels - Practical Machine Learning Tutorial with Python p.30.mp4 |
30.95MB |
| Writing our own K Nearest Neighbors in Code - Practical Machine Learning Tutorial with Python p.17.mp4 |
44.91MB |